Writing the logic for a blackjack playing program

Yesterday's Kaggle micro-challenge asked to write the logic for a blackjack player. Kevin Mader created a training set of random games and training a decision tree to make the best moves!

https://goo.gl/eUCccZ

@ArtificialIntelligenceArticles

Best Data Science tutorials 2018


https://reactdom.com/data-science

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Neural Kinematic Networks for Unsupervised Motion Retargetting #CVPR2018
paper: https://arxiv.org/abs/1804.05653 Code : https://goo.gl/4TdpoA

Iris scanner artificial intelligence can tell the difference between the living and the dead
paper: https://arxiv.org/abs/1807.04058
news: https://goo.gl/swp1RC @ArtificialIntelligenceArticles

Edge TPU Devices

The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices.

Coming this fall https://goo.gl/QQRgLF

Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry #database

Ledig et al https://goo.gl/QifkgN

#alzheimersdisease #medicalimagi

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
https://arxiv.org/abs/1807.07356

Stanford is looking for postdoctoral researcher to carry out research at the interface of Artificial Intelligence and Machine Learning (ML) and Chemistry.


https://www.nature.com/naturejobs/science/jobs/648959-machine-learning-and-artificial-intelligence-for-retrosynthesis

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Recent research in Science is adding a new dimension to deep learning https://goo.gl/vaK6Jv or https://arxiv.org/abs/1804.08711 @ArtificialIntelligenceArticles

Painting outside the box with deep learning

Code: https://github.com/bendangnuksung/Image-OutPainting @ArtificialIntelligenceArticles

L1: Tensor Studio — A playground for tensor computations

Demo : https://mlajtos.github.io/L1/latest/

Code : https://github.com/mlajtos/L1

Understanding Memory in Deep Learning Systems: The Neuroscience, Psychology and Technology Perspectives
https://goo.gl/RAvMhv @ArtificialIntelligenceArticles

Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes

"Our training system can achieve 75.8% top-1 test accuracy in only 6.6 minutes using 2048 Tesla P40 GPUs."

paper : https://arxiv.org/abs/1807.11205

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https://goo.gl/oL1g4h

https://goo.gl/aoN8aa @ArtificialIntelligenceArticles

TensorFlow 1.9 Officially Supports the Raspberry Pi

By Pete Warden, Software Engineer : https://medium.com/tensorflow/tensorflow-1-9-officially-supports-the-raspberry-pi-b91669b0aa0

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
paper : https://arxiv.org/abs/1808.00590 @ArtificialIntelligenceArticles

Auto Keras is an OSS project that uses neural architecture search to automatically develop Keras models

GitHub code: https://github.com/jhfjhfj1/autokeras
Paper : https://arxiv.org/abs/1806.10282

Kaggle Tensorflow Speech Recognition Challenge https://towardsdatascience.com/kaggle-tensorflow-speech-recognition-challenge-b46a3bca2501

Speaker Recognition from raw waveform with SincNet

Mirco Ravanelli, Yoshua Bengio : https://arxiv.org/abs/1808.00158

5 implementations of the 'Neural Arithmetic Logic Unit'



Neural networks enhanced with Neural Arithmetic Logic Units (NALU) can learn to track time, perform arithmetic over images of numbers, translate numerical language into real-valued scalars, execute computer code, and count objects in images

https://arxiv.org/abs/1808.00508

GitHub : https://github.com/search?utf8=%E2%9C%93&q=Neural+Arithmetic+Logic+Units&type=
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Keynotes, Talks and Tutorials from "useR 2018" Conference

https://goo.gl/pNPRxS @ArtificialIntelligenceArticles